PLX206749

GSE98126: Mapping the chemotherapy-induced RNA interactome in Glioblastoma [RNA-Seq]

  • Organsim human
  • Type RNASEQ
  • Target gene
  • Project ARCHS4

Long non-coding RNAs (lncRNAs) are increasingly recognized as important players in transcription and epigenetic-driven cell diversification. So far, lncRNA function in more dynamic transcriptional reprogramming, i.e drug response, has been largely unexplored. Here, we investigated the regulatory circuits induced by chemotherapy in glioblastoma, the most aggressive and clinically refractory brain cancer. We performed a detailed characterization of the cellular and transcriptional response of glioblastoma stem-like cells to the alkylating agent temozolomide (TMZ). We found that in addition to mRNAs, TMZ affects the expression of a large number of non-coding RNAs (miRNAs, snoRNAs, lncRNAs). Our global transcriptome analysis provides a comprehensive characterization of regulatory circuits involving transcription factors, mRNAs, miRNAs and lncRNAs. To analyse the putative functions of these largely unknown RNA molecules, we developed a pipeline to integrate small and large RNA-seq data from multiple public databases and our own experiments. This led to the identification of the RNA interactome of glioblastoma and allowed us to define regulatory loops mediated by lncRNAs. We identified 22 key lncRNAs involved in transcriptional regulatory motifs, and three lncRNAs associated with patient prognosis, independent of other known response predictors. The investigation of TMZ-induced molecular networks in glioblastoma highlights novel coding and non-coding RNA-based predictors of glioblastoma chemoresistance, as well as potential targets to counteract such resistance. SOURCE: Arnaud Muller (arnaud.muller@lih.lu) - GENPRO LIH

View on GEOView in Pluto

Key Features

Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.

Learn More

14K+ Published Experiments

Access an extensive range of curated bioinformatics data sets, including genomic, transcriptomic, and proteomic data.

Easy Data Import

Request imports from GEO or TCGA directly within Pluto Bio. Seamlessly integrate external data sets into your workflow.

Advanced Search Capabilities

Utilize powerful search tools to quickly find the data sets relevant to your research. Filter by type, disease, gene, and more.

Analyze and visualize data for this experiment

Use Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.

Read about post-pipeline analysis

View QC data and experiment metadata

View quality control data and experiment metadata for this experiment.

Request import of other GEO data

Request imports from GEO or TCGA directly within Pluto Bio.

Chat with our Scientific Insights team